Proceedings of the 2016 International Conference on Engineering and Technology Innovations

Study on the giant magnetostrictive actuator control strategy based on genetic algorithm setting the PID parameter

Authors
Dengyuan Mo, Qidou Zhou, Shaochun Ding, Zhiyong Xie
Corresponding Author
Dengyuan Mo
Available Online March 2016.
DOI
10.2991/iceti-16.2016.11How to use a DOI?
Keywords
Giant magnetostrictive actuator (GMA), Mathematical model, PID parameter setting, Genetic algorithm (GA), Simulation analysis
Abstract

In This paper, the relevant research is carried out about seabed sound reflection . It has influences on the test results of the real-boat test based on the acoustic holographic technology. The effects of seabed reflection on underwater acoustic test is analyzed, through simulating sound field of free field and semi-free field are seabed with different absorption capacity. By comparing the amplitude and phase relative errors under the free field for the acoustic test is determined, and the upper frequency limit is discussed. The basis for sitting sea trials used to do real-boat test based on the acoustic holographic technology and optimizing test program are proposed.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Engineering and Technology Innovations
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-170-4
ISSN
2352-5401
DOI
10.2991/iceti-16.2016.11How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dengyuan Mo
AU  - Qidou Zhou
AU  - Shaochun Ding
AU  - Zhiyong Xie
PY  - 2016/03
DA  - 2016/03
TI  - Study on the giant magnetostrictive actuator control strategy based on genetic algorithm setting the PID parameter
BT  - Proceedings of the 2016 International Conference on Engineering and Technology Innovations
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceti-16.2016.11
DO  - 10.2991/iceti-16.2016.11
ID  - Mo2016/03
ER  -